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Prevalence of and factors associated with childhood anaemia in remote villages of the Peruvian Amazon: a cross-sectional study and geospatial analysis.

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dc.contributor.author Morocho-Alburqueque, Noelia
dc.contributor.author Quincho-Lopez, Alvaro
dc.contributor.author Nesemann, John M.
dc.contributor.author Cañari Casaño, Jorge Luis
dc.contributor.author Elorreaga Reyes, Oliver Antonio
dc.contributor.author Muñoz, Marleny
dc.contributor.author Talero, Sandra
dc.contributor.author Harding-Esch, Emma M.
dc.contributor.author Saboyá-Díaz, Martha Idalí
dc.contributor.author Honorio-Morales, Harvy A.
dc.contributor.author Durand, Salomón
dc.contributor.author Carey-Angeles, Cristiam A.
dc.contributor.author Klausner, Jeffrey D.
dc.contributor.author Keenan, Jeremy D.
dc.contributor.author Lescano Guevara, Andres Guillermo
dc.coverage.spatial Loreto, Perú
dc.date.accessioned 2023-04-16T04:38:15Z
dc.date.available 2023-04-16T04:38:15Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/13399
dc.description.abstract BACKGROUND: Anaemia is a public health problem in Peru. In the Loreto region of the Amazon, ≥50% of children may be anaemic, although insufficient information exists for rural villages. METHODS: To generate more data about childhood anaemia in the Peruvian Amazon, haemoglobin was measured as part of a trachoma survey in 21 randomly selected villages. All children 1-9 y of age from 30 randomly selected households per village were recruited. Anaemia was classified according to the World Health Organization guidelines and a socio-economic status (SES) index was created for each household using principal component analysis. Spatial autocorrelation was determined using Moran's I and Ripley's K function. RESULTS: Of 678 children with complete haemoglobin data, 25.4% (95% confidence interval [CI] 21.2 to 30.1) had mild-or-worse anaemia and 22.1% (95% CI 15.6 to 30.3) had moderate-or-worse anaemia. Mild-or-worse anaemia was more common among children whose primary source of drinking water was surface water (prevalence ratio [PR] 1.26 [95% CI 1.14 to 1.40], p<0.001) and who were in the lowest SES tercile (PR 1.16 [95% CI 1.02 to 1.32], p=0.021). Moderate-or-worse anaemia was more common among boys (PR 1.32 [95% CI 1.09 to 1.60], p=0.005). No evidence of geospatial clustering was found. CONCLUSIONS: Remote villages of the Amazon would benefit from interventions for childhood anaemia and the poorest households would have the most to gain. Integrating anaemia screening into neglected tropical diseases surveys is an opportunity to use public health resources more efficiently. en_US
dc.language.iso eng
dc.publisher Oxford University Press
dc.relation.ispartofseries Transactions of the Royal Society of Tropical Medicine and Hygiene
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject anaemia en_US
dc.subject global health en_US
dc.subject Peru en_US
dc.subject prevalence en_US
dc.subject rural health en_US
dc.title Prevalence of and factors associated with childhood anaemia in remote villages of the Peruvian Amazon: a cross-sectional study and geospatial analysis. en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1093/trstmh/trad018
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.06
dc.relation.issn 1878-3503


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